CMU Notes

• 42-444 Medical Devices
• 42-580 Bioinstrumentation (op-amp circuits and stuff)
• 15-440 Distributed Systems (Fall), talks about MapReduce and Hadoop. Useful if you have a large amount of computers at your disposal solving an interesting problem…Google has lots of class notes on it too: http://code.google.com/edu/parallel/. It's still really hard to do this stuff, but useful if you're rolling out GigaPan or some other “big-data” website
• 51-243 Prototyping
• 51-341 How Things Are Made (Fall)
• Computer Vision (Spring, possibly grad course instead)?
• 05-331 Building Virtual Worlds?
• Course by Golan Levin
• 39-245 Rapid Prototype Design, and other classes in CIT Design Minor
• 05-540 Rapid Prototyping of Computer Systems
• 42-580 BioInstrumentation. Hands-on circuit design for biomedical stuff?
• 57-109 Elective Studio Guitar Class (3 units)
• 11-344 Machine Learning in Practice, easier version of Machine Learning?
• 15-381 Artificial Intelligence
• 15-462 Computer Graphics
• 15-440 Distributed Systems

Hey, Nolan. Here are the courses that you might be interested in. Check these out. Probably, you may like prof. Eric Paulos(environmental,green technology), Scott Hudson, Anind Dey(Ubi- Comp), Golan Levin(Interactive Art), Jason Hong… etc.. If you have any question on this(HCII,Computational Design,Interactive Art stuff) or anything I can help, let me know.

https://enr-apps.as.cmu.edu/open/SOC/SOCServlet?CourseNo=51482&SEMESTER=S11&Formname=Course_Detail
https://enr-apps.as.cmu.edu/open/SOC/SOCServlet?CourseNo=05899&SEMESTER=S11&Formname=Course_Detail
https://enr-apps.as.cmu.edu/open/SOC/SOCServlet?CourseNo=05837&SEMESTER=S11&Formname=Course_Detail
https://enr-apps.as.cmu.edu/open/SOC/SOCServlet?CourseNo=05499&SEMESTER=S11&Formname=Course_Detail
https://enr-apps.as.cmu.edu/open/SOC/SOCServlet?CourseNo=05872&SEMESTER=S11&Formname=Course_Detail
https://enr-apps.as.cmu.edu/open/SOC/SOCServlet?CourseNo=05610&SEMESTER=F11&Formname=Course_Detail
https://enr-apps.as.cmu.edu/open/SOC/SOCServlet?CourseNo=51759&SEMESTER=F11&Formname=Course_Detail

The Bottom two are provided on Fall.

Nolan,

Check the following faculty to see what they are offering. They all use rapid prototyping in their courses.

• Mark Gross (architecture) (very open to non-archies)
• Jeremy Ficca (architecture)
• Eric Paulos (HCII)
• Golan Levin (Art)

• Figuring out heart beat from face video data…seems to need ICA. Online DEMO!!!. More examples

• Main site
• If you are a TA, you get 1/3 of your tuition waived. Nice! Maybe RI will give you a discount as a student too.
• CMU full-time staff get 2 free classes! CMU is ~$600 per credit hour = ~$10000-$14000 in savings! Yikes…

• 96 total units: (>500 is grad)

• Classes that were practical in nature, such as Gadgetry or Intro to Robotics.
  • Math is cool, but I don't really want to study it that much unless I can use it in something I'm doing. My math/physics roommate cringes every time I say this, and I would agree. I'm just not comfortable with calc (I got a C in every calc class >.<). Pro Tip: Take all the calc you can in high school! You get tons of problems (unlike college), the teachers are more enthusiastic (sometimes), and the tests aren't tricky or worth a ton (unlike CMU's math department)! You'll learn it much better and be more comfortable with u-subbing and changing variables
• Take 36-217 (statistics) with Genovese
• I think cooler classes will come over the next year.

• Neural Signal Processing, similar to Machine Learning. Awesome course apparently
• Machine Learning, pairs with Pattern Recognition (spring???)
• Control Systems w/ ECE (spring only?)
• Machine Learning for Signal Processing sounded really cool, he might take it in Fall '11
• Don't take Speech Recognition

• CMU is not very practical. You have to search for the practical teachers and make sure to take their courses!
• He is taking Control Systems. I might not be as interested in it, but maybe embedded control systems…

• Machine Learning for Signal Processing is basically a project class that you teach yourself the material for doing a specific area, probably in speech. Neural Signal Processing is probably better.

• 42-580 Special Topics: Bioinstrumentation | 9 Units | Fall
• 42-431: Biomedical Image Processing. I seem to remember this class being math heavy? Very similar to pattern recognition, so maybe pick between the two classes?
• 42-731/18-795 Bioimage Informatics, grad class covering a lot of wavelet transform stuff.

• 15-381: Artificial Intelligence (211 is a pre-req for this class)
• Computer Vision (not offered during Fall?)

• Sound Editing & Mastering or Electronic & Computer Music (after intro to computer music)
  • Not sure which one I should take, but either will fill up gen ed depth req's

• Should you use personal research as a way to get 12 units of coverage credit? (or just take another ECE class…)

• Gesture Recognition (or anything recognition…)
  • Wii Want To Write (final report for 18-551 by some ECE students). Does gesture recognition on the Wii Remote using Dynamic Time Warping (not as modern as hidden markov models apparently though according to Stern). Good paper!
• Adaptive Filtering…“a filter that self-adjusts its transfer function according to an optimization algorithm driven by an error signal”. Rad. Probably in Patt Rec?
• Kalman Filtering: A way to fuse multiple sets of data together that are related that also have noise. Most often used for Inertial Measurement Units (IMU's) and apparently satellites.

The Kalman Filter: Introduction to Concepts by Maybeck

• The Kalman Filter: Introduction to Concepts by Maybeck.
• PDF Course Pack by Welch and Bishop at SIGGRAPH 2001 from http://www.cs.unc.edu/~welch/kalman/
• Intro to Robot SLAM Thesis. Copies a bit from Maybeck's first chapter, but he states that. Got to page 28 and is a good applicable read. Just ended as the robot was moving and doing Kalman.
• SLAM for Dummies. A little more complicated than the above link, but still good.
• Society of Robots forum posting providing code and examples by a CMU guy. Not sure who, but he's in RI.
• Where's the wiimote? You've seen this one before! Very mathy and not much explanations, but perhaps some sample code! Cool :)
• Blog Tutorial. Ended up not being kalman filter, but a simple version of a low-pass filter.

• 18-348: 8-bit Microcontrollers
• 18-320: Microelectronic Circuits? Seems useful, might want to check prof though
• 15-211: Algorithms
• 18-799 Machine Learning for Signal Processing
  • Hard, but good learning
  • Fall only
  • Ask Amber Xu for more info
• OR 15-385 Computer Vision
• 18-491 Fundamentals of Signal Processing (DSP)

• 15-386 Neural Computation is a fun eventual class

• 18-474 Embedded Control Systems (Spring I think…)

* 18-493 Electroacoustics (Fall 2011)

• 18-492 Special Topics: Speech Processing

* 18-496 Introduction to Biomedical Imaging and Image Analysis (Fall 2011)

• Also, it’d be good to talk to Suyog

18-447 Introduction to Computer Architecture(Spring 2012?)

18-794 – Pattern Recognition Theory (Spring 2011…2012?). Heard good things about this class. Taught by Mario Savvides. Demo at end of semester?

Humanoids

Capstone: 18-551 Digital Communication and Signal Processing Systems Design (Spring 2012)

The reason Machine Learning has 211 as a pre-req is because you’re dealing with pruning a lot of trees, etc. It’d be a fun class, I think, but a lot of CS work that relies on 15-121 skills.

NOTE: 2 6-unit classes = 1 9-unit class

• Sound Recordiung I (6 units)
• Sound Editing and Mastering (6 units)
• Multitrack Recording (9 units)
• Introduction to Music Technology (6 units)
• 3 more credits…independent piano/chord theory?

• Welding
• Image Processing
• Computer Vision (15-385?) Which one is Suyog taking?

• Sound Recording
• Electroacoustics
• Physics of Musical Sound

• Printer in ECE D-Level is Lukas. Under \\eceprint
• You can print to ECE printers from your laptop! ECE Printing Help Link

Hmm..